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Python: Copy Python extractor to codeql repo
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235
python/extractor/lark/lark.py
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235
python/extractor/lark/lark.py
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from __future__ import absolute_import
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import os
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import time
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from collections import defaultdict
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from io import open
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from .utils import STRING_TYPE
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from .load_grammar import load_grammar
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from .tree import Tree
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from .common import LexerConf, ParserConf
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from .lexer import Lexer, TraditionalLexer
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from .parse_tree_builder import ParseTreeBuilder
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from .parser_frontends import get_frontend
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class LarkOptions(object):
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"""Specifies the options for Lark
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"""
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OPTIONS_DOC = """
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parser - Decides which parser engine to use, "earley" or "lalr". (Default: "earley")
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Note: "lalr" requires a lexer
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lexer - Decides whether or not to use a lexer stage
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"standard": Use a standard lexer
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"contextual": Stronger lexer (only works with parser="lalr")
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"dynamic": Flexible and powerful (only with parser="earley")
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"dynamic_complete": Same as dynamic, but tries *every* variation
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of tokenizing possible. (only with parser="earley")
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"auto" (default): Choose for me based on grammar and parser
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ambiguity - Decides how to handle ambiguity in the parse. Only relevant if parser="earley"
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"resolve": The parser will automatically choose the simplest derivation
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(it chooses consistently: greedy for tokens, non-greedy for rules)
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"explicit": The parser will return all derivations wrapped in "_ambig" tree nodes (i.e. a forest).
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transformer - Applies the transformer to every parse tree
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debug - Affects verbosity (default: False)
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keep_all_tokens - Don't automagically remove "punctuation" tokens (default: False)
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cache_grammar - Cache the Lark grammar (Default: False)
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postlex - Lexer post-processing (Requires standard lexer. Default: None)
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start - The start symbol (Default: start)
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profile - Measure run-time usage in Lark. Read results from the profiler proprety (Default: False)
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propagate_positions - Propagates [line, column, end_line, end_column] attributes into all tree branches.
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lexer_callbacks - Dictionary of callbacks for the lexer. May alter tokens during lexing. Use with caution.
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"""
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__doc__ = OPTIONS_DOC
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def __init__(self, options_dict):
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o = dict(options_dict)
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self.debug = bool(o.pop('debug', False))
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self.keep_all_tokens = bool(o.pop('keep_all_tokens', False))
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self.tree_class = o.pop('tree_class', Tree)
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self.cache_grammar = o.pop('cache_grammar', False)
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self.postlex = o.pop('postlex', None)
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self.parser = o.pop('parser', 'earley')
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self.lexer = o.pop('lexer', 'auto')
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self.transformer = o.pop('transformer', None)
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self.start = o.pop('start', 'start')
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self.profile = o.pop('profile', False)
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self.ambiguity = o.pop('ambiguity', 'auto')
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self.propagate_positions = o.pop('propagate_positions', False)
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self.earley__predict_all = o.pop('earley__predict_all', False)
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self.lexer_callbacks = o.pop('lexer_callbacks', {})
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assert self.parser in ('earley', 'lalr', 'cyk', None)
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if self.parser == 'earley' and self.transformer:
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raise ValueError('Cannot specify an embedded transformer when using the Earley algorithm.'
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'Please use your transformer on the resulting parse tree, or use a different algorithm (i.e. lalr)')
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if o:
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raise ValueError("Unknown options: %s" % o.keys())
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class Profiler:
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def __init__(self):
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self.total_time = defaultdict(float)
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self.cur_section = '__init__'
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self.last_enter_time = time.time()
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def enter_section(self, name):
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cur_time = time.time()
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self.total_time[self.cur_section] += cur_time - self.last_enter_time
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self.last_enter_time = cur_time
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self.cur_section = name
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def make_wrapper(self, name, f):
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def wrapper(*args, **kwargs):
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last_section = self.cur_section
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self.enter_section(name)
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try:
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return f(*args, **kwargs)
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finally:
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self.enter_section(last_section)
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return wrapper
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class Lark:
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def __init__(self, grammar, **options):
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"""
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grammar : a string or file-object containing the grammar spec (using Lark's ebnf syntax)
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options : a dictionary controlling various aspects of Lark.
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"""
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self.options = LarkOptions(options)
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# Some, but not all file-like objects have a 'name' attribute
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try:
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self.source = grammar.name
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except AttributeError:
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self.source = '<string>'
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cache_file = "larkcache_%s" % str(hash(grammar)%(2**32))
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else:
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cache_file = "larkcache_%s" % os.path.basename(self.source)
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# Drain file-like objects to get their contents
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try:
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read = grammar.read
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except AttributeError:
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pass
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else:
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grammar = read()
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assert isinstance(grammar, STRING_TYPE)
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if self.options.cache_grammar:
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raise NotImplementedError("Not available yet")
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assert not self.options.profile, "Feature temporarily disabled"
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self.profiler = Profiler() if self.options.profile else None
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if self.options.lexer == 'auto':
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if self.options.parser == 'lalr':
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self.options.lexer = 'contextual'
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elif self.options.parser == 'earley':
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self.options.lexer = 'dynamic'
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elif self.options.parser == 'cyk':
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self.options.lexer = 'standard'
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else:
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assert False, self.options.parser
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lexer = self.options.lexer
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assert lexer in ('standard', 'contextual', 'dynamic', 'dynamic_complete') or issubclass(lexer, Lexer)
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if self.options.ambiguity == 'auto':
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if self.options.parser == 'earley':
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self.options.ambiguity = 'resolve'
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else:
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disambig_parsers = ['earley', 'cyk']
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assert self.options.parser in disambig_parsers, (
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'Only %s supports disambiguation right now') % ', '.join(disambig_parsers)
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assert self.options.ambiguity in ('resolve', 'explicit', 'auto', 'resolve__antiscore_sum')
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# Parse the grammar file and compose the grammars (TODO)
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self.grammar = load_grammar(grammar, self.source)
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# Compile the EBNF grammar into BNF
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self.terminals, self.rules, self.ignore_tokens = self.grammar.compile()
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self.lexer_conf = LexerConf(self.terminals, self.ignore_tokens, self.options.postlex, self.options.lexer_callbacks)
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if self.options.parser:
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self.parser = self._build_parser()
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elif lexer:
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self.lexer = self._build_lexer()
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if self.profiler: self.profiler.enter_section('outside_lark')
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__init__.__doc__ = "\nOPTIONS:" + LarkOptions.OPTIONS_DOC
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def _build_lexer(self):
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return TraditionalLexer(self.lexer_conf.tokens, ignore=self.lexer_conf.ignore, user_callbacks=self.lexer_conf.callbacks)
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def _build_parser(self):
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self.parser_class = get_frontend(self.options.parser, self.options.lexer)
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self._parse_tree_builder = ParseTreeBuilder(self.rules, self.options.tree_class, self.options.propagate_positions, self.options.keep_all_tokens, self.options.parser!='lalr')
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callback = self._parse_tree_builder.create_callback(self.options.transformer)
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if self.profiler:
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for f in dir(callback):
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if not (f.startswith('__') and f.endswith('__')):
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setattr(callback, f, self.profiler.make_wrapper('transformer', getattr(callback, f)))
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parser_conf = ParserConf(self.rules, callback, self.options.start)
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return self.parser_class(self.lexer_conf, parser_conf, options=self.options)
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@classmethod
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def open(cls, grammar_filename, rel_to=None, **options):
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"""Create an instance of Lark with the grammar given by its filename
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If rel_to is provided, the function will find the grammar filename in relation to it.
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Example:
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>>> Lark.open("grammar_file.lark", rel_to=__file__, parser="lalr")
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Lark(...)
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"""
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if rel_to:
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basepath = os.path.dirname(rel_to)
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grammar_filename = os.path.join(basepath, grammar_filename)
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with open(grammar_filename, encoding='utf8') as f:
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return cls(f, **options)
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def __repr__(self):
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return 'Lark(open(%r), parser=%r, lexer=%r, ...)' % (self.source, self.options.parser, self.options.lexer)
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def lex(self, text):
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"Only lex (and postlex) the text, without parsing it. Only relevant when lexer='standard'"
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if not hasattr(self, 'lexer'):
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self.lexer = self._build_lexer()
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stream = self.lexer.lex(text)
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if self.options.postlex:
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return self.options.postlex.process(stream)
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return stream
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def parse(self, text):
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"Parse the given text, according to the options provided. Returns a tree, unless specified otherwise."
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return self.parser.parse(text)
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# if self.profiler:
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# self.profiler.enter_section('lex')
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# l = list(self.lex(text))
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# self.profiler.enter_section('parse')
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# try:
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# return self.parser.parse(l)
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# finally:
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# self.profiler.enter_section('outside_lark')
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# else:
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# l = list(self.lex(text))
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# return self.parser.parse(l)
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